{"id":"W2275659198","doi":"10.1021/acs.energyfuels.5b02736","title":"Gas Adsorption Capacity of Wood Pellets","year":2016,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pellets; Adsorption; Carbon monoxide; Desorption; Chemical engineering; Oxygen; Carbon dioxide; Torrefaction; Chemistry; Carbon fibers; Materials science; Pyrolysis; Organic chemistry; Catalysis; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001694671,0.0005421963,0.0004270762,0.0005003824,0.0002160761,0.0003956708,0.0003640696,0.000308239,0.003085727],"category_scores_gemma":[0.0003921273,0.0002026595,0.000318329,0.0003289648,0.0001134421,0.00044725,0.0001949421,0.0002809745,0.000994205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820665,"about_ca_system_score_gemma":0.0001296588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560683,"about_ca_topic_score_gemma":0.00177146,"domain_scores_codex":[0.9997738,0.0000191086,0.00001298471,0.00004312091,0.00008133909,0.00006972226],"domain_scores_gemma":[0.9998366,0.0000623856,0.0000191934,0.00001122665,0.00005765693,0.00001292241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001445547,0.00004709987,0.00156406,0.0001676038,0.00002189007,0.00007950138,0.00003655751,0.0003887615,0.9902114,0.00006803188,0.00008912568,0.00718128],"study_design_scores_gemma":[0.000002869045,0.0002768903,0.009299594,0.00001284939,0.00002164547,0.00009973965,0.00005778458,0.001587935,0.9872951,0.00003451943,0.001299043,0.00001202685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936386,0.001561632,0.002375612,0.00002604435,0.00003275559,0.00001920265,0.0007118011,0.00008032881,0.001554017],"genre_scores_gemma":[0.9929358,0.001146588,0.001462068,0.00003174045,0.000009990159,0.00003233813,0.001286891,0.00004576833,0.003048746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003085727,"threshold_uncertainty_score":0.01032281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00962811855901886,"score_gpt":0.1843357374880364,"score_spread":0.1747076189290176,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}